ML Engineer with 1+ years in LLM & Data Analytics
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Highly motivated ML Data Associate with 1.0 years of experience, specializing in Large Language Models (LLM) and data analytics. Proven ability to engineer and curate large-scale conversational datasets, perform comprehensive EDA, and design data quality workflows. Skilled in Python, SQL, Tableau, Power BI, and various ML/Generative AI frameworks, with a track record of improving model accuracy and workflow efficiency. Passionate about leveraging data-driven insights to solve complex business problems, demonstrated through contributions to Amazon NOVA and successful chatbot development projects.
Madras Christian College
Masters in Statistics · Statistics
August 1, 2021 – June 30, 2023
MCC Boyd Tandon School of Business
Professional Diploma in Data Analytics for Business Applications · Data Analytics for Business Applications
August 1, 2019 – June 30, 2020
Madras Christian College
Bachelors in Statistics · Statistics
August 1, 2018 – June 30, 2021
Amazon
ML Data Associate
June 1, 2025 – Present
Chennai, Tamil Nadu, India
Pozent Labs
Associate Data Scientist
December 1, 2023 – October 1, 2024
Chennai, Tamil Nadu, India
Airport Operations Dashboard
January 1, 2026 – Present
Designed interactive dashboards to monitor airport traffic and route performance. Used geospatial analysis to visualize flight destinations and travel patterns. Identified top routes, peak travel days, and distance-based insights.
View ProjectSales Performance Dashboard
January 1, 2026 – Present
Built interactive dashboards to track sales trends over 2 years. Analysed revenue by company, employee, region, and product. Created visual summaries for management decision-making.
View ProjectWhole Person Education Study
January 1, 2026 – Present
Analyzed students by gender, stream, year of study, and subject domain using Independent Samples T-Test & ANOVA. Extracted the factors contributing to Whole Person Development (WPD) using Principal Component Analysis. Investigated the interaction of Emotional Health with other elements of WPD using Ordinal Logistic Regression.
View ProjectMedical Recommendation System
January 1, 2026 – Present
Built predictive model achieving 90% accuracy using Logistic Regression. Validated model outputs and linked predictions to UI using Streamlit.
Data Analytics and Visualization Virtual Experience
Accenture (Forage)
June 1, 2026 – Present
Data Analytics Consulting Virtual Experience
KPMG (Forage)
June 1, 2026 – Present
Tableau Training
Simplilearn
June 1, 2026 – Present
SQL (Intermediate)
HackerRank
June 1, 2026 – Present
Understanding Prompt Engineering
DataCamp
June 1, 2026 – Present
Machine Learning with Python (Honors)
IBM (Coursera)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from academic statistical analysis to practical ML system development and data visualization, indicates a broad interest and adaptability. Their experience at Amazon and Pozent Labs, coupled with a strong academic background, suggests a drive for continuous learning and professional growth. The target role of ML Engineer aligns well with their recent experience in LLM data operations and ML system development, indicating a clear career trajectory. The breadth of skills across data analysis, ML, and generative AI frameworks suggests a versatile individual who can contribute to various aspects of an ML team.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their work on data quality and validation workflows, and their ability to act as an SME. Collaboration with Data Scientists and ML Engineers indicates good teamwork and communication within a technical environment. The project descriptions suggest an ability to translate business requirements into technical solutions, and a focus on improving efficiency and accuracy. The awards received at Amazon (Rockstar Rookie, Star Performer) suggest a proactive and high-performing work attitude.